Pattern recognition algorithms and disease biomarkers

Ben A. Hitt; Emanuel Petricoin; Lance Liotta

doi:10.1201/9781420027624

Pattern recognition algorithms and disease biomarkers

Ben A. Hitt, Emanuel Petricoin, Lance Liotta

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

The publication of our successes1-4 in using mass spectral patterns to identify patients with ovarian and prostate cancers and animals with premalignant pancreatic cancer has led to increased interest in using these methods to characterize a variety of disease and biological states. Adoption of a pattern discovery and recognition approach to biomarker identification requires the acceptance of two basic premisesthat there is a need and that a pattern of features in a signal constitute a biomarkeras well as choosing an adequate set of tools. This chapter will present a case for acceptance of both premises, describe some of the methods available, and present the pitfalls associated with the process.

Original language	English
Title of host publication	Informatics in Proteomics
Publisher	CRC Press
Pages	353-366
Number of pages	14
ISBN (Electronic)	9781420027624
ISBN (Print)	9781574444803
DOIs	https://doi.org/10.1201/9781420027624
State	Published - 1 Jan 2005
Externally published	Yes

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10.1201/9781420027624

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Pattern recognition algorithms and disease biomarkers

Abstract

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